2020
DOI: 10.1016/j.jngse.2019.103049
|View full text |Cite
|
Sign up to set email alerts
|

Accurate permeability prediction in tight gas rocks via lattice Boltzmann simulations with an improved boundary condition

Abstract: Accurately predicting gas transport in rocks is required for enhancing the accuracy of field production models. The mesoscale lattice Boltzmann (LB) method can be implemented to predict gas permeability in porous rocks. However, the published LB results for the Klinkenberg effect are often inconsistent with the widely used Beskok-Karniadakis-Civan's (BKC) correlation. The culprit of the unphysical effect has been identified in the typically implemented boundary conditions (BCs). An improved BC is proposed here… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1

Citation Types

0
3
0

Year Published

2020
2020
2024
2024

Publication Types

Select...
5
1

Relationship

2
4

Authors

Journals

citations
Cited by 9 publications
(3 citation statements)
references
References 75 publications
0
3
0
Order By: Relevance
“…Thus, for more general situations of fluid transport in microporous/nanoporous shale, upscale strategies are needed to extend molecular simulations to pore-scale simulations. Generally, the upscale strategies still rely on the conventional simulation methods for porous media, which can automatically address the complex flow in porous structure and the primary mission of MD simulations is coupling nanoscale flow characteristic. In light of such tactics, some MD-based lattice Boltzmann method (LBM) and pore network model (PNM) simulations are proposed for pore-scale transport in a shale matrix, which would be individually expounded in the following sections.…”
Section: Pore-scale Simulationsmentioning
confidence: 99%
“…Thus, for more general situations of fluid transport in microporous/nanoporous shale, upscale strategies are needed to extend molecular simulations to pore-scale simulations. Generally, the upscale strategies still rely on the conventional simulation methods for porous media, which can automatically address the complex flow in porous structure and the primary mission of MD simulations is coupling nanoscale flow characteristic. In light of such tactics, some MD-based lattice Boltzmann method (LBM) and pore network model (PNM) simulations are proposed for pore-scale transport in a shale matrix, which would be individually expounded in the following sections.…”
Section: Pore-scale Simulationsmentioning
confidence: 99%
“…Either of these factors increases the dimensionless Knudsen number (Kn), defined as a ratio of the mean free path ( ) of the gas to the average pore diameter ( d p ). With the increase of Kn, the gas flow becomes more rarefied and transitions from slip flow to transitional flow, and eventually to the free molecular flow (Darabi et al 2012;Fan et al 2020;Javadpour and Ettehadtavakkol 2015;Fan and Ettehadtavakkol 2017b).…”
Section: The Alp Versus Klinkenberg Equationmentioning
confidence: 99%
“…Either of these factors increases the dimensionless Knudsen number (Kn). With the increase of the Knudsen, gas flow becomes more rarefied and transits from slip flow to transitional flow, and eventually to the free molecular flow [42,19,27].…”
Section: The Alp Versus Klinkenberg Equationmentioning
confidence: 99%